Volume 8, Issue 3 (12-2019)                   2019, 8(3): 17-30 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Hoseinpour A, Jalilvand H, Niknejad M, parynejad H, Savadkohi A. Investigating the Effects of Forestry Plans on Tree Diversity Indices Mapped by Kriging Method (A Case Study: Watson Forestry Plan in the Eastern of Mazandaran). Iranian Journal of Applied Ecology 2019; 8 (3) :17-30
URL: http://ijae.iut.ac.ir/article-1-939-en.html
Sari university
Abstract:   (6166 Views)
Forestry plans have been influential on tree species and planting in different ways, regulating tree species diversity. Investigation of the changes in tree species diversity and preservation livestock sustainability by using forestry inventory can be an appropriate tool for decision makers in management. Indicators such as the Shannon Wiener and Simpson indices can be used to study the variations in tree species diversity in the forest. In this research, the  Watson series forestry inventory was used in 2004 and 2014. In the aforementioned years, 369 circular sampling plots were taken with an intensity of 3.3% and using a 200 * 150 m inventory grid with GPS. The Simpson and Shannon Wiener indices were calculated in sampling plots pieces; then, Kriging ability was investigated  using histogram, QQ plot, semivariogram and RMSE, and data normalization. The land maps of these indices were analyzed in 2004, 2014; also, their change detections were prepared. The results showed that during the 10-year period of the implementation of the forestry plan, the Simpson and Shannon Wiener species diversity indices were increased by 30%, and about 60% of the area remained unchanged; also, about 11% of the area had reduced species diversity.
Full-Text [PDF 1226 kb]   (2144 Downloads)    
Type of Study: Research | Subject: General

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Applied Ecology

Designed & Developed by : Yektaweb